Triple
T15437813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ioannis |
E369812
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Jean Moréas |
E75494
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jean Moréas | Statement: [Ioannis, usedBy, Jean Moréas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Moréas Context triple: [Ioannis, usedBy, Jean Moréas]
-
A.
Jean Moréas
chosen
Jean Moréas was a Greek-born French poet and critic best known for helping define and promote the Symbolist movement in late 19th-century literature.
-
B.
Geneviève Mallarmé
Geneviève Mallarmé was the daughter of the French Symbolist poet Stéphane Mallarmé and a figure in his personal correspondence and literary circle.
-
C.
Louis de Noailles
Louis de Noailles was an 18th-century French nobleman and marshal who held high military commands during the War of the Austrian Succession.
-
D.
Anatole Mallarmé
Anatole Mallarmé was the son of French Symbolist poet Stéphane Mallarmé, remembered chiefly through his father's writings and correspondence.
-
E.
Raoul Mesnier du Ponsard
Raoul Mesnier du Ponsard was a Portuguese engineer of French origin best known for designing several iconic urban elevators and funiculars in Lisbon in the late 19th and early 20th centuries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007757ed48190813f6ab839240a15 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 3:21 a.m.